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A hybrid manifold learning algorithm for the diagnosis and prognostication of Alzheimer’s disease

The diagnosis of Alzheimer’s disease (AD) requires a variety of medical tests, which leads to huge amounts of multivariate heterogeneous data. Such data are difficult to compare, visualize, and analyze due to the heterogeneous nature of medical tests. We present a hybrid manifold learning framework,...

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Bibliografiske detaljer
Udgivet i:AMIA Annu Symp Proc
Main Authors: Dai, Peng, Gwadry-Sridhar, Femida, Bauer, Michael, Borrie, Michael
Format: Artigo
Sprog:Inglês
Udgivet: American Medical Informatics Association 2015
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4765614/
https://ncbi.nlm.nih.gov/pubmed/26958180
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